Global insights on Software Engineering, AI and Devops job openings - July 2026 | Corvi Careers

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Global insights on Software Engineering, AI and Devops job openings - July 2026

Total: 184,710, Remote: 19,447, On-site: 165,263.

Specializations

Our coverage of current job openings across the globe (excluding China) reveals that the demand for technology professionals is distributed across a variety of specializations. Business software applications and data engineering feature most prominently, each attracting thousands of listings. Full-stack and general software roles, as well as positions in software and technology leadership—which comprise both management and high-level individual contributor tracks—are also widely represented. Data-oriented fields maintain a strong presence, with notable opportunities in both data engineering and broader data analytics work. Machine learning and AI roles, while distinct from pure data analysis, make up a significant segment as well. Among core engineering categories, backend and frontend expertise, along with language-specific roles like Java engineering, offer a range of options for practitioners, though these categories comprise somewhat fewer listings compared to broader or more generalist specialties. Overall, current postings reflect a robust interest in both foundational software development and more specialized data or machine intelligence skills.

Business Software Applications: 34,487

Data Engineering: 33,336

Full-Stack & General Software: 29,957

Software & Technology Leadership: 24,070

Data & Analytics: 14,792

Machine Learning & AI: 14,426

Backend Engineer: 10,621

Full Stack Engineering: 10,244

Java Engineering: 8,513

Frontend & Web Engineering: 7,230

In Demand Skills

Our coverage of job openings across the globe (excluding China) highlights current demand for a range of technical skills. Snapshot data shows that Python is cited most frequently among in-demand competencies, with CI/CD, AWS, SQL, DevOps, and Java also appearing in a large volume of postings. Employers are consistently looking for expertise in major cloud platforms, programming languages, and core software development practices. Tools like Kubernetes, Docker, and Terraform, as well as frameworks and technologies such as React, TypeScript, and Spring, also rank high in employer requirements. Proficiency in areas like data analysis, microservices, and distributed systems is widely sought after, reflecting the complex and evolving nature of today’s technology roles.

Python: 21,224

PostgreSQL: 4,492

CI/CD: 19,402

ETL: 4,424

AWS: 17,807

Jenkins: 4,244

SQL: 15,053

Node.js: 4,036

DevOps: 14,503

SRE: 3,939

Java: 14,269

Angular: 3,814

Azure: 13,061

.NET: 3,683

GCP: 10,871

Snowflake: 3,602

Kubernetes: 10,690

Kafka: 3,512

React: 9,770

Spark: 3,264

Data Analysis: 7,945

Data Modeling: 3,191

TypeScript: 7,740

Spring Boot: 3,168

Docker: 7,571

PyTorch: 3,030

JavaScript: 7,119

System Design: 2,938

Microservices: 6,434

CSS: 2,804

Distributed Systems: 6,223

Power BI: 2,591

Linux: 6,207

NoSQL: 2,528

REST API: 5,635

Android: 2,471

Terraform: 5,449

HTML: 2,328

Spring: 4,727

GitHub Actions: 2,294

AI Skill signals

Our coverage of job openings across the globe (excluding China) shows robust demand for roles referencing AI skills in their postings. Currently, generic AI skills feature most prominently, with tens of thousands of opportunities, while more specialized requirements, such as expertise with large language models, generative AI techniques, retrieval-augmented generation (RAG), or prompt engineering, appear in a smaller but still notable share of listings. Specific technologies and products—like Claude, OpenAI, Copilot, and agentic frameworks—are also sought after, though to a lesser extent, suggesting employers recognize and value specialized capabilities alongside broader AI competencies. This current posting snapshot highlights how the market for AI talent continues to diversify, with a clear emphasis on both foundational skills and targeted technical knowledge.

AI (generic): 44,229

LLMs: 7,880

Generative AI: 5,575

RAG: 2,269

Claude: 1,655

Prompt engineering: 1,552

OpenAI: 1,448

Copilot: 1,432

Agentic patterns: 1,041

Agentic frameworks: 980

Seniority Levels

Our coverage of job openings across the globe (excluding China) reveals that most current postings are concentrated in mid-level and senior roles. Mid-level opportunities slightly outnumber those at the senior level, while entry-level and internship postings are far less prevalent by comparison. This snapshot suggests that organizations are currently prioritizing talent with established experience over those at the very start of their careers.

Mid Level: 89,032

Senior: 78,019

Entry Level: 14,113

Intern: 3,546

Geographic Hotspots

Our coverage of job openings across the globe excluding China reveals several...